Presentation in video is here: https://youtu.be/7YHKwwTr-9I Scalability is an important part when architecting a web app. There are multiple options on how to scale the web app tier and the database tier. Those options will be explained with examples from services from Microsoft Azure. If you are beginner and want to understand the fundamentals of scalability and resiliency, then this presentation is for you. Presented technologies and concepts: Scale Up, Scale Out, Microservices, VM, Load Balancer, CDN, RedisCache, API Management, Queues, Sharding, DDD, NoSql

1. Scaling Cloud Apps w/ Azure
Houssem Dellai
Microsoft MVP

3. Agenda
Scale Up
Scale Out
Load Balancer/Traffic Manager
CDN
Cache
ElasticSearch
Separate Web App & Web API
Microservices & Containers
Serverless Apps
API Management
Push Tasks to the client
HTTP Cache
Cache Data Queries
Indexing
Stored procedures/ORM
RW/W
Partitioning
Sharding
DDD
NoSQL

4. Scale Up
512GB RAM
64 Processors
8GB RAM
4 Processors
Scale Up

5. Scale Out 3 VMs
3x8GB RAM
3x4 Processors
1 VM
8GB RAM
4 Processors
Scale Out

6. Request
Load Balancer
Round Robin
Least Connection
Chained Failover: redirects to the next server
only if the previous one cannot accept any
further requests.
Weighted Response Time: redirects to the
server with the current fastest response.
Load Balancer / Traffic Manager

7. 1
2
3
4
5
6
CDN Server
Content Delivery Network (CDN)

8. 1
2
3
4
5
6
Cache Server
Cache: RedisCache, MemCached

9. Optimizing Search
• Elastic Search
• Algolia

10. Separate Web App and Web API
• SPA apps
• Angular/React/Vue frameworks

11. Component 1
Payment API
Component 2
Authentication API
Component 3
Recommendation API
Container 1
Microservice 1
Payment API
Container 2
Container 3
Microservice 2
Authentication API
Microservice 3
Recommendation API
Microservices & Containers

17. Serverless Applications
• Azure Functions
• Amazon Lambda

18. Container 1
Microservice 1
Payment API
Container 2
Container 3
Microservice 2
Authentication API
Microservice 3
Recommendation API
Request
API Management
API Management

20. Queues: Azure Queue Storage

23. Pushing tasks to the client side
• Resizing images…

24. Caching repeatable HTTP requests &
responses
• Browsers supports this
• TTL (time To Live)

25. Scaling the Database

26. Cache Data Queries
• In-memory caching

27. Database index

28. Stored Procedures over/and/or ORM
• Hibernate
• NHibernate
• Entity Framework

29. Replicate database (RW/R)
• One Database for Write
• One Database for Read

30. ID Fullname Email Date of Birth Phone
ID Date of Birth Phone
ID Fullname Email Date of Birth Phone
9999 Adam Doe adam@doe.com 01/01/1980 +999999999
ID Fullname Email
9999 Adam Doe adam@doe.com
ID Date of Birth Phone
9999 01/01/1980 +999999999
ID Fullname Email
Split Vertically (Partitioning)

31. ID Fullname Email Date of Birth Phone
9999 Adam Doe adam@doe.com 01/01/1980 +999999999
8888 Sam Smith sam@smith.com 01/01/1970 +888888888
ID Fullname Email Date of Birth Phone
9999 Adam Doe adam@doe.com 01/01/1980 +999999999
ID Fullname Email Date of Birth Phone
8888 Sam Smith sam@smith.com 01/01/1970 +888888888
Split Horizontally (Sharding)

32. Domain Driven Design (DDD)

33. NoSql database
• Azure Cosmos DB and Azure Tables